Welcome to our dedicated page for Radnet news (Ticker: RDNT), a resource for investors and traders seeking the latest updates and insights on Radnet stock.
RadNet, Inc. (NASDAQ: RDNT) generates a steady flow of news as a national provider of freestanding, fixed-site diagnostic imaging services and as the parent of DeepHealth, its AI-powered health informatics division. News about RadNet often highlights developments across its network of 407 owned and/or operated outpatient imaging centers in markets such as Arizona, California, Delaware, Florida, Maryland, New Jersey, New York and Texas, as well as updates from its Digital Health segment.
Investors and observers following RDNT news will encounter announcements on topics such as acquisitions of imaging centers, expansion into new regional markets and updates on RadNet’s operational performance. For example, the company has reported acquisitions like Radiology Regional in Southwest Florida, adding multiple imaging centers and staff to its Florida footprint. Earnings releases and financial guidance updates are also frequent news items, reflecting trends in imaging volumes, segment revenue and Adjusted EBITDA for both the Imaging Center and Digital Health segments.
RadNet’s DeepHealth division is another major source of news, with press releases covering the launch of AI-powered clinical suites, imaging informatics platforms and collaborations with partners. Recent communications have described products such as Breast Suite, Thyroid Suite, Operations Suite, Diagnostic Suite and TechLive, as well as research findings published in scientific journals and showcased at industry conferences like RSNA. News may also cover strategic collaborations, including letters of intent and partnerships with companies such as GE HealthCare to expand AI-powered imaging solutions across modalities and geographies.
Because RadNet regularly issues updates on its financial results, acquisitions, digital health initiatives and research milestones, the RDNT news page can be a useful resource for tracking how the company’s imaging center operations and DeepHealth portfolio evolve over time. Readers interested in diagnostic imaging services, AI in radiology and healthcare operations technology may find RadNet’s news particularly relevant.
RadNet's DeepHealth subsidiary has received expanded FDA 510(k) clearance for its SmartMammo Dx AI algorithm, making it compatible with GE HealthCare's Senographe Pristina™ mammography systems. The software, which helps identify suspicious soft tissue lesions and calcifications in digital breast tomosynthesis (DBT) mammograms, was previously cleared for use with HOLOGIC systems in May 2012. The technology has already supported millions of exams through RadNet's Enhanced Breast Cancer Detection program and aims to improve cancer detection accuracy, operational efficiency, and patient care through AI-powered screening.
RadNet announced the completion of pricing and allocations for Amendment No. 1 to its Credit Agreement, which will reduce interest rates by 0.25% on its $872.8 million outstanding term loans. The new rates will be either Term SOFR plus 2.25% or alternate base rate plus 1.25%. This amendment is expected to result in approximately $2.2 million in annual cash interest expense reduction. The company maintains a strong financial position with nearly $750 million in cash, a leverage ratio under 1.0x, and term loans maturing in 2031.
GE HealthCare (GEHC) and RadNet's DeepHealth (RDNT) have announced a strategic collaboration to advance AI in medical imaging. The partnership will combine GE HealthCare's imaging expertise with RadNet's DeepHealth AI solutions to develop SmartTechnology™ solutions. Their first initiative integrates DeepHealth's AI-powered SmartMammo™ with GE's Senographe Pristina™ mammography system to enhance breast cancer screening. The collaboration includes Smart Alerts, aimed at enabling rapid AI processing for potentially suspicious lesions. GE HealthCare will distribute SmartMammo and other DeepHealth solutions in the United States, with plans to explore additional AI-based workflows in other imaging modalities.
GE HealthCare (GEHC) and RadNet's DeepHealth announced a strategic collaboration to advance AI in medical imaging. The partnership will combine GE HealthCare's imaging expertise with RadNet's DeepHealth AI solutions to create SmartTechnology™ solutions. Their first initiative integrates DeepHealth's AI-powered SmartMammo™ with GE's Senographe Pristina™ mammography system to enhance breast cancer screening. The collaboration includes Smart Alerts, aimed at enabling rapid AI processing for potentially suspicious lesions. GE HealthCare will distribute SmartMammo and other DeepHealth solutions in the United States as part of their imaging technologies portfolio.
RadNet (RDNT) reported strong Q3 2024 financial results with record quarterly performance. Total revenue increased 14.7% to $461.1 million, while Adjusted EBITDA grew 27.2% to $73.7 million. Digital Health segment revenue rose 34.3% to $16.4 million, driven by a 75.8% increase in AI revenue. The company reported adjusted diluted EPS of $0.18, up from $0.13 in Q3 2023. Aggregate procedural volumes increased 9.0%, with same-center volumes up 5.5%. Based on strong performance, RadNet revised upward its 2024 guidance for Revenue, Adjusted EBITDA, and Free Cash Flow. The company maintained a strong balance sheet with $748.9 million in cash and a Net Debt to Adjusted EBITDA ratio below 1.0x.
RadNet's DeepHealth announced that ONRAD, a national radiology provider serving over 120 facilities and managing 1.4 million exams annually, will implement DeepHealth OS, a cloud-native operating system for radiology services. The system aims to streamline clinical and operational workflows through AI-powered data integration.
ONRAD will implement various solutions including a streamlined viewer, enhanced technology functionalities, and smart reporting features. DeepHealth OS creates personalized AI-powered workspaces for radiology teams, enabling integrated data access and secure collaboration. The technology is currently used by over 350 customers worldwide and will be formally launched at the RSNA conference in December 2024.
RadNet (NASDAQ: RDNT), a national provider of diagnostic imaging services, has scheduled its third quarter 2024 financial results conference call for Monday, November 11, 2024, at 7:30 a.m. Pacific Time (10:30 a.m. Eastern Time). Investors can participate by dialing 844-826-3035 (US) or 412-317-5195 (International). The company will provide simultaneous and archived webcasts of the call, accessible via their website. An archived replay will be available by dialing 844-512-2921 (US) or 412-317-6671 (International) using passcode 10193306.
RadNet, Inc. (NASDAQ: RDNT), a leading provider of diagnostic imaging services, has announced its participation in the Sidoti & Company Small Cap 2024 Virtual Conference. Mark Stolper, Executive Vice President and CFO, will present on Wednesday, September 18th at 4:00 p.m. Eastern Time.
The presentation will be accessible via simultaneous and archived webcasts on the Sidoti platform and RadNet's website. RadNet operates 398 outpatient imaging centers across eight U.S. states and employs over 10,000 people, including affiliated radiologists. The company offers a range of services, including radiology information technology, artificial intelligence solutions, and teleradiology professional services.
RadNet (NASDAQ: RDNT) has appointed Kees Wesdorp as President and CEO of its Digital Health division and a member of the executive management team. Wesdorp, formerly with Philips and Hellman & Friedman, brings extensive experience in radiology software solutions and AI development. He will lead RadNet's digital health products, including eRAD Radiology Information/Image Management Systems and DeepHealth OS, as well as clinical AI solutions in breast, prostate, lung, and neuro imaging.
This appointment signifies RadNet's commitment to strengthening its digital health offerings and accelerating growth in health informatics and AI applications. Wesdorp's expertise is expected to drive innovation in radiology practice, improving efficiency, accuracy, and patient outcomes.
DeepHealth, a RadNet subsidiary, has partnered with HOPPR to advance AI in healthcare. The collaboration aims to commercialize a Medical-Grade Generalized Foundational Model and develop Fine-Tuned models for breast, prostate, and lung cancer detection. This partnership leverages HOPPR's medical-grade infrastructure and DeepHealth's clinical expertise to enhance diagnostic accuracy and workflow efficiency in radiology.
Key points:
- DeepHealth's cloud-native operating system integrates clinical and operational tools
- HOPPR's model enhances medical research and simplifies data collection and training
- The collaboration aims to accelerate AI development in medical imaging
- DeepHealth's technology is used in over 800 clinical sites, performing 15 million exams annually